September 2014 

NASA/CR–2014-218527 

Peru Water Resources: Integrating NASA Earth 

Observations into Water Resource Planning and 

Management in Peru’s La Libertad Region 

Steve Padgett-Vasquez, Catherine Steentofte, and Abigail Holbrook 

Langley Research Center, DEVELOP National Program, Hampton, Virginia 
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September 2014 

NASA/CR–2014-218527 

Peru Water Resources: Integrating NASA Earth 

Observations into Water Resource Planning and 

Management in Peru’s La Libertad Region 

Steve Padgett-Vasquez, Catherine Steetofte, and Abigail Holbrook 

Langley Research Center, DEVELOP National Program, Hampton, Virginia 
Available from: 

NASA Center for AeroSpace Information 

7115 Standard Drive 

Hanover, MD 21076-1320 

443-757-5802 
1 

I. Abstract 

Developing countries often struggle with providing water security and sanitation 

services to their populations. An important aspect of improving security and sanitation is 

developing a comprehensive understanding of the country’s water budget. Water For 

People, a non-profit organization dedicated to providing clean drinking water, is 

working with the Peruvian government to develop a water budget for the La Libertad 

region of Peru which includes the creation of an extensive watershed management 

plan. Currently, the data archive of the necessary variables to create the water 

management plan is extremely limited. Implementing NASA Earth observations has 

bolstered the dataset being used by Water For People, and the METRIC (Mapping 

EvapoTranspiration at High Resolution and Internalized Calibration) model has allowed 

for the estimation of the evapotranspiration values for the region. Landsat 8 imagery 

and the DEM (Digital Elevation Model) from the Advanced Spaceborne Thermal 

Emission and Reflection Radiometer (ASTER) sensor onboard Terra were used to derive 

the land cover information, and were used in conjunction with local weather data of 

Cascas from Peru’s National Meteorological and Hydrological Service (SENAMHI). 

Python was used to combine input variables and METRIC model calculations to 

approximate the evapotranspiration values for the Ochape sub-basin of the Chicama 

River watershed. Once calculated, the evapotranspiration values and methodology 

were shared Water For People to help supplement their decision support tools in the La 

Libertad region of Peru and potentially apply the methodology in other areas of need. 

II. Introduction 

Background Information: 

Many developing countries, like Peru, struggle with providing water security and 

sanitation services. Water For People, a non-profit dedicated to assisting countries with 

water sanitation, aims to establish creative, collaborative solutions that allow people to 

build and maintain their own reliable safe water systems (Water For People, 2014). The

organization holds an office in Cascas, the capital of the Gran Chimú province of the 

La Libertad region of Peru. Water For People’s office in Peru strives to help provide 

water security and sanitation systems to the people of seventeen villages and the 40% 

of the population within the sub-basin whose systems are deemed unsustainable or in 

poor condition. Water For People works with the Peruvian government to create the 

water budget for the La Libertad region, which requires evapotranspiration and 

precipitation analysis (Water For People, 2014). 

Located in the La Libertad region of Peru, the Chicama River serves as the main source 

of water throughout the region, with the watershed encompassing roughly five 

thousand square kilometers (ISSUU, 2003, pg. 49). NASA DEVELOP focused on assisting 

Water For People with the evapotranspiration analysis of the Ochape sub-basin of the 

Chicama watershed. The Ochape sub-basin, with an area of two-hundred seventeen 
2 

square kilometers, is located within the La Libertad region and partially within the 

Cajamarca region as well. The Ochape sub-basin politically covers the provinces of 

Contumaza and Gran Chimú. The main economic activities of the Ochape sub-basin 

include livestock and agriculture, exporting crops such as wheat, potatoes, corn, 

beans, and citruses, though the main agricultural product of the region is beets (ISSUU, 

2003, pg. 51). Because of the Ochape’s main economic sources, monitoring the water 

distribution across the sub-basin from the hydrologic cycle is crucial. Evapotranspiration 

describes the loss of water from the soil by evaporation and also transpiration by plants. 

Necessary in the creation of the water budget for Peru, Water For People needed the 

calculated evapotranspiration values across the Ochape sub-basin (Water For People, 

2013). 

To calculate the evapotranspiration values, the Mapping Evapotranspiration at High 

Resolution with Internalized Calibration (METRIC) model was developed in collaboration 

by the University of Idaho and the Idaho Department of Water Resources. METRIC is an 

image processing model encompassing multiple sub-models for calculating 

evapotranspiration as a residual of the surface energy balance. Traditionally, 

evapotranspiration values from agricultural fields were estimated by multiplying the 

weather based reference evapotranspiration by crop coefficients. However, METRIC 

allows evapotranspiration values to be calculated without using crop coefficients, but it 

will often lead to error. As a variant of the Surface Energy Balance Algorithm for Land 

(SEBAL) model developed by the Netherlands, METRIC’s terrain application includes 

mountainous regions and areas with arid or semi-arid climates, making it applicable for 

the semi-arid climate and mountainous terrain of the Ochape sub-basin of the 

Chicama River watershed (Allen, 2007). 

There were a multitude of input values that were required to calculate 

evapotranspiration values. The Operational Land Imager (OLI) sensor from the Landsat 

8 satellite was the primary source for the project’s input data (Landsat 8 OLI, 2014). The 

project gathered data from the Landsat 8 satellite for April 2013 through June 2014, and 

from this it provided thermal bands and land cover data necessary for calculating 

evapotranspiration. A joint initiative between the U.S. Geological Survey (USGS) and 

NASA, Landsat provides imagery resources for those working in agriculture, geology, 

mapping, regional planning, and more (Landsat Project Description, 2013). The other 

NASA Earth Observing System used for this project was the Advances Spaceborne 

Thermal Emission and Reflection Radiometer (ASTER) sensor aboard the Terra satellite. 

ASTER data has been used to create detailed maps of land surface temperature, 

reflectance, and elevation since December of 1999 (ASTER, 2004). Elevation data from 

the ASTER sensor is an important component of measuring the evapotranspiration 

values through the METRIC model. The final data needed for the inputs in the METRIC 

model were in-situ weather data from a local weather station in Cascas. The data 

gathered included precipitation (mm, air pressure (mb), humidity (%), wind speed (m/s), 

and temperature (°C). This information was gathered daily from December 2013 

through June 2014, which corresponded to Landsat 8 data availability (Landsat Project 

Description, 2013). This then became our study period. 

The data from the OLI sensor of Landsat 8, ASTER sensor of Terra, and the local weather 

station at Cascas were fed into a Python script of the METRIC model. Through scripting 
3 

the METRIC model, the input data could be filtered into the script to output the 

evapotranspiration values. These values were then displayed in ArcGIS on a map that 

will be delivered to Water For People for use in creating the watershed management 

plan and water budget for the La Libertad region of Peru. 

The METRIC model for calculating evapotranspiration was chosen to gather the 

evapotranspiration values for various reasons. As previously mentioned, 

evapotranspiration from agricultural fields involved multiplying the weather-based 

reference evapotranspiration by crop coefficients adjusted for crop type and crop 

growth stage. However, this often leads to error since it is difficult to predict the correct 

crop growth stage dates for large areas of crops and fields, thus making the METRIC 

model the most accurate tool for estimating evapotranspiration values (Allen, 2007). 

METRIC evapotranspiration applications include water planning, water rights 

monitoring, aquifer depletion, hydrologic modeling, water-use data, and water 

administration (Allen, 2005). Because of the many applications of METRIC, the METRIC 

model and the corresponding evapotranspiration calculations are valuable to Water 

For People in their development of La Libertad’s watershed management plan and 

water budget. 

Project Objectives: 

The overall goal for this project was to provide the appropriate and relevant data to 

assist Water For People in their decision-making process. The end-products of the 

project included the evapotranspiration estimates of the Ochape sub-basin. To get to 

this end-product, there were several objectives that had to be accomplished 

throughout the course of this project. First, the appropriate data for our project had to 

be gathered and formatted so that it could be fed through a Python script. Secondly, 

the largest project objective encompassed scripting the METRIC model and all fifty-nine 

corresponding equations into Python. The script had to be tested often to ensure the 

outputs accuracy. Lastly, the final evapotranspiration values from the Python script 

were measured and georeferenced so that they could be mapped in ArcGIS. 

Study Area: 

The specific region for this project is the Ochape sub-basin of the Chicama River 

watershed, located largely in the Gran Chimú province of the La Libertad region of 

Peru. The Ochape sub-basin’s area is approximately two-hundred seventeen square 

kilometers, whereas the entire Chicama River watershed covers roughly five thousand 

square kilometers. The Ochape sub-basin consists of 67 springs, 52 irrigation canals, and 

29 reservoirs (Water For People, 2013). There are 34 communities within the sub-basin, 

and the demographics of the region are 68% rural, and 32% urban (Water For People, 

2013). The sub-basin has a warm, dry climate year round and has an average 

temperature of 18.9°C (Water For People, 2013). The Ochape sub-basin encompasses a 

mountainous terrain with rolling hills. The maximum altitude reaches four-thousand twohundred meters (ISSUU- 2003, pg. 53). The main industry of the sub-basin is agriculture 

with a staple-crop of beets, and the industry of livestock follows. 

Study Period: 

The study period for the project term is from December 2013 to June 2014, as this is the 

period of obtainable data from both the Landsat 8 satellite and Cascas weather 
4 

station. Landsat 8 is the most recent satellite that gives preliminary evapotranspiration 

and land cover data, which is the main satellite used for this project (Landsat Project 

Description, 2013). 

National Applications: 

The project addressed the “Water Resources” NASA application area and contributed 

to supporting the goal of broadening NASA Earth observation users and data. Under 

the Water Resources program, data will be derived and analyzed to assist in water 

management within the Ochape sub-basin alongside of Water for People (Farmer, 

2012). 

Project Partners: 

The research of this term was completed for and in collaboration with the nonprofit 

organization, Water for People. Water for People’s ultimate goal is to achieve universal 

clean drinking water and sanitation services for global citizens. They are currently 

partnered with the regional government of La Libertad within Peru to find solutions to 

improve water and sanitation services for the region. To do so, they seek to create a 

comprehensive water management plan that contains a water resource inventory. 

Before this project, NASA Earth observation data was not being incorporated into this 

management plan. Because of the limited amount of in-situ data within Ochape subbasin, Water For People wished to incorporate remotely sensed data from NASA EOS 

into their plan to help bridge the gaps in currently-available data. 

III. Methodology 

Data Acquisition: 

To calculate the evapotranspiration values for the Ochape sub-basin, preliminary data 

was needed as input variables into the scripted Mapping Evapotranspiration at High 

Resolution with Internalized Calibration (METRIC) model. Surface temperature, land 

cover data, thermal bands, and reflectance were retrieved from the OLI sensor of the 

Landsat 8 satellite. Running since 2013, Landsat 8 served as the most prominent source 

of information for the evapotranspiration measurements (Landsat Project Description, 

2013). Another NASA Earth Observing System used as input data was the ASTER 

instrument from the Terra satellite, which has been running since December 1999 

(ASTER, 2004). ASTER gathered the Digital Elevation Model (DEM) for our sub-basin. This 

served as an extremely valuable input variable since the elevation for the Ochape subbasin varies so widely between low lying rivers and mountainous terrain. Lastly, local 

weather data was collected from the Servicio Nacional de Meteorología e Hidrología 

del Perú (SENAMHI) station in the city of Cascas. This data contained information 

surrounding precipitation, pressure, humidity, wind speed, and temperature. All of the 

input variable data was collected monthly starting from December 2013 through June 

2014 (Landsat Project Description, 2013). Although the Landsat 8 and Terra satellite data 

both went as far back as June 2013, weather data through SENAMHI was only 

accessible from at December 2013, which limited our study period. To acquire the 

Landsat 8 and Terra satellite data, imagery was downloaded from the USGS 

EarthExplorer. To collect the weather data, information was retrieved from the SENAMHI 
5 

Cascas weather station’s online database. Thus, the necessary data for the Ochape 

sub-basin of the Chicama watershed was acquired and ready to input into the Python 

script of the METRIC model. 

Data Processing: 

The data from the OLI sensor of Landsat 8, the ASTER sensor of the Terra satellite, and 

the local weather station in Cascas was processed by scripting the Mapping 

Evapotranspiration at High Resolution with Internalized Calibration (METRIC) model. 

METRIC is an image processing model encompassing multiple sub-models for 

calculating evapotranspiration as a residual of the surface energy balance equation. 

Comprised of fifty-nine equations, the METRIC model can be broken down into three 

main components: net radiation (Rn), sensible heat flux conducted into the ground (G), 

and sensible heat flux convected into the ground (H). These three sub-categories lead 

to the calculation of latent energy consumed by evapotranspiration (Allen, 2007). 

LE = Rn − G − H

From the latent energy equation, the METRIC model calculated instantaneous 

evapotranspiration for the time the satellite image was taken. For this project term, 

instantaneous evapotranspiration was calculated for December 2013. As seen on the 

Landsat 8 imagery, this month had limited cloud coverage, which would distort the 

instantaneous evapotranspiration values if high. 

ETinst = 3,600

LE

λρw

The METRIC model can also calculate the average evapotranspiration over a 

designated period of time, such as a twenty-four hour period (Allen, 2007). However, 

this project could not calculate twenty-four hour evapotranspiration since Landsat 8 

takes images every two months. In order to compute evapotranspiration throughout a 

day, Landsat 8 images would need to be taken hourly. 

ET24 = Crad(ETrF)(ETr24)

To calculate the evapotranspiration values, a Python script was created that 

automated the METRIC model. The data from Landsat 8, Terra, and the Cascas 

weather station was used as input variables, allowing the script to run and then output 

the corresponding instantaneous evapotranspiration values. Although instantaneous 

evapotranspiration is the final result of the Python script, many intermediate results are 

output from the METRIC model. For example, soil adjusted vegetation index (SAVI), leaf 

area index (LAI), and normalized difference vegetation index (NDVI) are all 

intermediate results of the METRIC model. Although they are considered intermediate 

results, they are all important aspects of data processing since they are all incorporated 

into the final calculation of instantaneous evapotranspiration. 

Data Analysis: 

Since Python is the primary scripting language for ArcGIS, the instantaneous 

evapotranspiration calculation output a .tif image with the georeferenced data so that 
6 

it could be viewed in ArcGIS. The maps illustrating the instantaneous evapotranspiration 

values were given to Water For People for assistance in making the watershed 

management plan, allowing them to easily see which areas of the Ochape sub-basin 

are holding the most water. These values are essential to Water For People because 

evapotranspiration is a large aspect of how water is distributed across the region. Areas 

with high evapotranspiration values also correlate with having low surface temperature, 

high net radiation, low ground heat flux, and low heat flux to air. Vegetation, water 

availability, and evapotranspiration are also all interrelated. Because 

evapotranspiration holds many different relationships concerning water maintenance, 

this provides a large database of information for Water For People to reference when 

creating the watershed management plan and water budget for La Libertad, Peru 

(Morse, 2006). 

IV. Results & Discussion 

Analysis of Results: 

Instantaneous Evapotranspiration for the Ochape Sub-Basin 

Evapotranspiration is a significant component of the hydrologic cycle because it 

represents a considerable amount of moisture lost from a watershed (Allen, 2005). When 

analyzing the evapotranspiration map above, Water For People can see the areas of 

the sub-basin that are losing the highest amount of water. Some correlations can also 
7 

be inferred from this visualization in comparison to the Landsat 8 true color imagery and 

the digital elevation model below. When observing the Landsat 8 true color imagery, 

the areas that are greener have higher instantaneous evapotranspiration values. When 

analyzing the digital elevation model against the evapotranspiration map, there 

appears to be direct relationship between elevation and evapotranspiration. The 

higher the elevation, the higher the instantaneous evapotranspiration is for that area. 

Landsat 8 True Color Image 
8 

Digital Elevation Model 

Errors and Uncertainty: 

There are a multiple errors that arise from using the METRIC model to calculate 

evapotranspiration. One of the main errors in this project stems from the lack of daily 

satellite imagery. Landsat 8 takes imagery one every two weeks, which was enough to 

calculate instantaneous evapotranspiration. However, daily values of 

evapotranspiration are generally more useful and accurate than instantaneous 

evapotranspiration (Allen, 2007). While the METRIC model is considered a “hands-off” 

technique for calculation evapotranspiration, the model does specify that only highly 

trained experts surrounding vegetation and radiation physics should execute the 

METRIC model. Also, since the METRIC model was originally developed for Idaho and its 

corresponding climate and terrain, there may be some errors in the application of 

METRIC to the La Libertad region of Peru. 

Future Work: 

The Python script developed of the METRIC model used by another NASA DEVELOP 

team this term, which completed a different water resources project concerning the 

calculation of evapotranspiration for the Coastal Mid-Atlantic region. The METRIC 

model was also handed to Water For People so that evapotranspiration can be 
9 

calculated for different regions not only across Peru but also across the different 

continents. If this project was picked for a second term, the METRIC model could be 

applied to more months of the Ochape sub-bain, allowing evapotranspiration to be 

analyzed throughout a period of time. The METRIC model could also be strengthened 

and extended to encompass the calculation of twenty-four hour evapotranspiration. 

However, this would not be useful unless a satellite similar to Landsat 8 existed that took 

images of a region hourly. 

V. Conclusions 

Throughout the course of this project, several conclusions could be made surrounding 

evapotranspiration and its significance. Evapotranspiration from individual fields can 

assist in water planning, water rights monitoring, water-use data, and water 

administration. Evapotranspiration, vegetation, and water availability are also 

interrelated (Allen, 2005). Also, the scripted METRIC model allows for the calculation of 

evapotranspiration for different regions by both Water For People and future NASA 

DEVELOP projects. 

VI. Acknowledgments 

We would like to thank Nathan Owen, Christopher Ferraro, Lauren Childs-Gleason, Scott 

Baron, Bryce Kaw-Uh and especially Dr. Kenton Ross for all of their guidance, support, 

and assistance throughout the course of our project. We would also like to thank our 

project partners, Water For People, especially our contacts Mark Duey, Francisco Soto, 

and Michelle James, for whom this project was conducted, for their valuable input and 

supply of suggestions and data. 

VII. References 

Allen, R.G., M. Tasumi, A. Morse, R. Trezza, J.L.Wright, W. Bastiaanssen, W. Kramber, I. 

Lorite, and C.W. Robison, 2007. Satellite-based energy balance for mapping evapotranspiration 

with internalized calibration (METRIC)—Applications, Journal of Irrigation and Drainage 

Engineering, 133(4):395-406. 

Allen R.G., M. Tasumi, A. Morse (2005) Satellite-based evapotranspiration by energy 

balance for western states water management. US Bureau of Reclamation Evapotranspiration 

Workshop, Feb 8-10, 2005, Ft. Collins. 

ASTER: Advanced Spaceborne Thermal Emission and Reflection Radiometer. (2004, 

September 7). Retrieved June 26, 2014, from http://asterweb.jpl.nasa.gov/ 

Farmer, J. (2012, August 7). NASA DEVELOP Projects. Retrieved June 26, 2014, from 

http://develop.larc.nasa.gov/projects.html 

ISSUU: Evaluación y Ordenamiento de los Recursos Hídricos en la Cuenca del Río 

Chicama. Ministerio de Agricultura Administración Técnica del Distruito de Reigo 

Chicama, Uno, 49-55. Retrieved June 26, 2014, from http://issuu.com/redlibre/docs/named815f4 

Landsat Project Description. (2013, September 19). Retrieved June 26, 2014, from 

http://landsat.usgs.gov/about_project_descriptions.php 

Landsat 8 OLI (Operational Land Imager) and TIRS (Thermal Infrared Sensor). (2012, 
10

January 24). Retrieved June 26, 2014, from https://lta.cr.usgs.gov/L8 

Morse, A., W.J. Kramber, R.G. Allen, and M. Tasumi, 2006. Mapping Evapotranspiration 

using Landsat and the METRIC Evapotranspiration Model, Proceedings of the 2006 ASPRS Annual 

Conference, Reno, Nevada. 

Water For People. (2013, May 23). Everyone Forever: Cascas, Peru. 

Water For People. (2014, January 1). Retrieved June 26, 2014, from 

https://www.waterforpeople.org/ 

VIII. Appendices 

None currently. 
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 4. TITLE AND SUBTITLE

Peru Water Resources: Integrating NASA Earth Observations into Water 

Resource Planning and Management in Peru’s La Libertad Region 

5a. CONTRACT NUMBER

NNX14AB604

 6. AUTHOR(S)

Padgett-Vasquez, Steve; Steetofte, Catherine; Holbrook, Abigail

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NASA Langley Research Center 

Hampton, Virginia 23681 

 

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14. ABSTRACT

Developing countries often struggle with providing water security and sanitation services to their populations. An important 

aspect of improving security and sanitation is developing a comprehensive understanding of the country’s water budget. Water 

For People, a non-profit organization dedicated to providing clean drinking water, is working with the Peruvian government to 

develop a water budget for the La Libertad region of Peru which includes the creation of an extensive watershed management 

plan. Landsat 8 imagery and ASTER DEM were used to derive the land cover information, and were used in conjunction with 

local weather data of Cascas from Peru’s National Meteorological and Hydrological Service (SENAMHI). 

15. SUBJECT TERMS

Evapotranspiration; Landsat 8; Remote sensing; Terra ASTER; Water budget; Water management

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